Comparative genomic hybridization indicating two distinct subgroups of pilocytic astrocytomas

Cranial Pilocytic Astrocytoma With Spinal Drop Metastasis in an Adult: Case Report and Literature Review

BACKGROUND

Pilocytic astrocytoma (PA) is a benign neoplasm that typically occurs in the brain within the pediatric and adolescent age groups and is uncommon in adults. It rarely occurs within the ventricles, and the overall prognosis is favorable. A PA of the brain with spinal metastasis at presentation has never been reported in an adult.

CASE DESCRIPTION

We report a case of a 47-year-old man presenting with sudden-onset frontal headache associated with nausea and lethargy in addition to a background of a longer history of back pain and headache. Radiologic imaging revealed an acute intraparenchymal hemorrhage in the right parieto-occipital lobes with intraventricular extension within a peripherally enhancing heterogeneous lesion. Magnetic resonance imaging of the spine revealed a sacral intradural tumor. The patient underwent surgical resection of the intracranial mass followed by debulking of the spinal lesion. Histopathologic study revealed that both the cranial and spinal tumors were PA.

CONCLUSIONS

This case illustrates a unique instance of hemorrhage into a cerebral PA with a spinal metastasis. To our knowledge, this is the first such case reported in an adult. We review the literature on the subject.

Biologic tumor behavior in pilocytic astrocytomas

PURPOSE

The aim is to describe the behavior of pilocytic astrocytoma (PAs) and its effects on patient prognosis by using flow cytometric, immunohistochemical and cytogenetic methods. We also aim to find out whether there is any difference between differently localized tumors by the above mentioned analyses.

METHODS

We studied DNA index, expression of p53, p16, pRb, MMAC/PTEN1, VEGF, MIB-1 index and chromosomal anomalies which can be detected by array comparative genomic hybridization (CGH) technique. We analyzed the association of the results of these studies with clinical prognosis and tumor localization. We included 53 patients (18 cerebellar, 20 chiasmatic/hypothalamic and 15 hemispheric). Samples were studied from paraffin embedded tumors.

RESULTS

We found that PAs are mostly diploid and ploidy pattern does not affect the prognosis. The expression of p53, p16, pRb, MMAC/PTEN1 and VEGF was not significantly different between different localizations and could not predict the prognosis. Frequently seen copy number aberrations (CNAs) are: amplification in 1p36.33, 2p11.2, 9p11.2, 9q12, 16p11.2, 19q13.12-q13.2, Xp22.2-p21.3, Xp11.3-p11.22, Xq11.1-q12, Xq13.1, Xq21.1-q21.31, Xq22.3, Xq26.3 and homozygous deletion in 2p11.2, 8p23.1, 16p12.3. Among them, 2p11.2 amp, 9p11.2 amp and 1p36.21 hom del were correlated with prognosis. Moreover, we found a significant correlation between 16p11.2 amp and tumor localization.

CONCLUSIONS

Differently localized PAs have different properties which make them behave with different biological aggressiveness. PAs demonstrate a significant amount of CNAs that can be detected by a high-resolution study. However, tumor suppressor genes p53, p16, pRb, MMAC/PTEN1 and expression patterns do not play a significant role in PAs.

Integrated molecular analysis suggests a three-class model for low-grade gliomas: a proof-of-concept study

INTRODUCTION

We used an integrated molecular analysis strategy to perform class discovery on a population of low-grade gliomas (astrocytomas, oligodendrogliomas, and mixed gliomas) to improve our understanding of the molecular relationships among these tumors and to reconcile genotypic relationships with current histologic and molecular strategies for tumor classification.

METHODS

Gene expression profiling was performed on a cross-section of World Health Organization (WHO) grades I-II gliomas. Unsupervised class discovery algorithms identified and validated tumor clusters with genotypic similarity, and these data were integrated with chromosomal copy number assays and RT-PCR data to define molecular tumor subclasses. Machine learning models allowed accurate, prospective classification of unknown tumors into these molecular subgroups. This molecular classification model was compared to current histologic (WHO) and molecular pathologic (chromosome 1p and 19q deletions, p53 alterations, and Ki-67 expression) methods for glioma classification.

RESULTS

Molecular class discovery suggested a three-class model for low-grade gliomas. One discrete cluster of gliomas identified the pilocytic astrocytomas, a second grouped the 1p/19q codeleted oligodendrogliomas, and the mixture of remaining 1p/19q intact gliomas, including astrocytomas, oligodendrogliomas, and oligoastrocytomas, formed a third cluster with a discrete pattern of expression.

CONCLUSIONS

Integration of genomic, transcriptomic, and morphologic data for class discovery suggests a three-class model for low-grade gliomas. Class I represents tumors with molecular similarity to pilocytic astrocytomas, class II tumors are similar to 1p/19q codeleted oligodendrogliomas, and class III represents infiltrative low-grade gliomas. This classification is similar to current clinical paradigms for low-grade gliomas; our work suggests a molecular basis for such models. This classification may supplement or may serve as the basis for a molecular pathologic alternative to current grading schemes for low-grade gliomas and may highlight potential targets for future biologically based treatments or strategies for future clinical trials.

Genomic analysis of pilocytic astrocytomas at 0.97 Mb resolution shows an increasing tendency toward chromosomal copy number change with age

Brain tumors are the most common solid tumors of childhood, accounting for over 20% of cancers in children under 15 years of age. Pilocytic astrocytomas (PAs), World Health Organization grade I, are one of the most frequently occurring childhood brain tumors, yet little is known about genetic changes characterizing this entity. We have used microarray comparative genomic hybridization at 0.97 Mb resolution to study a series of PAs (n = 44). No copy number abnormality was seen in 64% of cases at this resolution. However, whole chromosomal gain (median 5 chromosomes affected) occurred in 32% of tumors. The most frequently affected chromosomes were 5 and 7 (11 of 44 cases each) followed by 6, 11, 15, and 20 (greater than 10% of cases each). Findings were confirmed by fluorescence in situ hybridization and microsatellite analysis in a subset of tumors. Chromosomal gain was significantly more frequent in PAs from patients over 15 years old (p = 0.03, Fisher exact test). The number of chromosomes involved was also significantly greater in the older group (p = 0.02, Mann-Whitney U test). One case (2%) showed a region of gain on chromosome 3 and one (2%) a deletion on 6q as their sole abnormalities. This is the first genomewide study to show this nonrandom pattern of genetic alteration in pilocytic astrocytomas.

Altered Expression of Immune Defense Genes in Pilocytic Astrocytomas

Pilocytic astrocytoma (WHO grade I) is a circumscribed, slowly growing, benign astrocytoma that most frequently develops in the cerebellar hemispheres and in midline structures and occurs predominantly in childhood and adolescence. In contrast to diffusely infiltrating gliomas in adults (e.g. grade II astrocytomas, oligodendrogliomas), survival of patients with pilocytic astrocytoma is excellent after surgical intervention. To search for potential molecular mechanisms underlying its benign biologic behavior, we compared gene expression profiles of pilocytic astrocytomas (8 cases) with those of normal cerebellum (4 cases), low-grade astrocytomas (WHO grade II; 15 cases), and oligodendrogliomas (WHO grade II; 17 cases) by cDNA array analysis. A number of immune system-related genes such as HLA-DRalpha, HLA-DPB1, HLA-DQB1, IgG3, IgGK, FCER1G, A2M, FCRN, IFI-56K, and DAP12 were upregulated in pilocytic astrocytomas relative to normal cerebellum, grade II astrocytomas, and oligodendrogliomas. Genes expressed at higher levels in pilocytic astrocytomas than in grade II astrocytomas and oligodendrogliomas include HLA-DRalpha, HLA-DPA1, HLA-DPB1, HLA-DQB1, A2M, TIMP1, TIMP2, CDKN1A, and SOCS3 and those expressed at lower levels include EGFR and PDGFRA. Hierarchical clustering analysis using the entire set of 1176 genes distinguished pilocytic astrocytomas from grade II astrocytomas and oligodendrogliomas. Clustering analysis using selected subgroups of genes based on their molecular functions revealed that immune system-related genes (75 genes) or cell adhesion, migration, and angiogenesis-related genes (69 genes) showed similar power to the entire gene set for separation of pilocytic astrocytomas from diffusely infiltrating low-grade gliomas. Immunohistochemistry revealed that HLA-DRalpha is expressed diffusely in neoplastic cells in pilocytic astrocytomas, whereas in oligodendrogliomas, expression was limited to scattered reactive astrocytes. These results suggest that gene expression profiles of pilocytic astrocytomas differ significantly from those of diffusely infiltrating low-grade gliomas and that their benign biologic behavior may be related to upregulation of immune defense-associated genes.